We are seeking a Sr Solution Analyst who will work closely with enterprise customers to design, implement, and deliver high-impact BI solutions. This role is ideal for someone who thrives in a customer-facing environment, is hands-on with modern BI tools and data modeling, and enjoys solving complex business challenges with data.
What you'll do:
Lead the design and delivery of ThoughtSpot solutions for our global clients.
Serve as a trusted technical advisor to internal and customer teams, providing expert guidance on ThoughtSpot solutions and integration with modern data stack.
Deliver comprehensive technical expertise, ensuring ThoughtSpot solutions meet client business objectives and BI/Analytics requirements.
Consult/Advise customers on Thoughtspot’s latest and greatest capabilities, ensuring impactful implementation and adoption of new features.
Design and optimize ThoughtSpot solutions for performance, scalability, and security.
Advise clients on data quality, integration, and model requirements.
Coordinate with internal teams to prioritize and address customer product requests
and defects.
Build and maintain strong relationships with client sponsors and stakeholders.
What you bring:
You are a “technologist” who can “talk to the business with 5+ years of experience in implementation, solutions consulting, or similar technical customer-facing roles.
Proven experience managing complex data and analytics implementations.
Strong technical knowledge in BI tools and data platforms (e.g., Tableau, Qlik, PowerBI, Snowflake, Databricks, Redshift, Google BigQuery).
Excellent communication and problem-solving skills.
Ability to understand client objectives and translate them into effective technical Solutions.
Experience collaborating with Sales, Product Management, and Engineering teams.
Hands-on experience with SQL and data modeling.
Strong familiarity with cloud platforms (AWS, GCP , Microsoft Azure) and data transformation tools (Matillion, Fivetran, Talend).
Hands-on experience with data warehousing ecosystems (e.g., data sources, ETL, data warehouse, data marts) and understanding of different types of schemas (OLTP vs. OLAP , snowflake, etc.).
Bachelor’s degree in a relevant field.
What will set you apart:
Familiarity with ETL tools (such as Alteryx, Datameer, Informatica, Talend, SSIS, DataStage, Kettle) is a plus.
Knowledge and experience with deployment architectures on-premises and in cloud environments like AWS, Azure, and Google Cloud.
Enjoy the start-up environment, and can wear your hat in any direction.
Documentation and process-oriented; you want to help build the foundation for our Technical architects professional services team
Experience with programming and scripting languages (Python, JavaScript).
Advanced certifications in relevant technologies and platforms.
Mandatory and Required Skills for All ThoughtSpot Roles
Spotters are expected to demonstrate AI literacy and workflow integration to include to ability to:
Comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality.
Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.
Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.
Write effective prompts to get the most accurate and creative results from AI tools.
Spotters are expected to exemplify these key traits and AI Mindset:
Curiosity in exploring new AI tools
Adaptability to quickly learn and implement new, emerging AI technologies
Critical thinking to know when to identify when AI should be used versus when human judgement is necessary
This combination of curiosity, adaptability, and discernment defines the AI mindset, and it’s required for every role at ThoughtSpot.
AI Mindset for All Spotters
At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work.
All Spotters are expected to experiment with ThoughtSpot’s AI tools (like Spotter and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI.
Hybrid Work at ThoughtSpot
Spotters are expected in-office 3 days per week to experience the energy of their local office. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.
ThoughtSpot for All
At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you’re a strong match, we encourage you to apply.
What Makes ThoughtSpot a Great Place to Work?
ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. We hire people with unique identities, backgrounds, and perspectives - this balance-for-the-better philosophy is key to our success. When paired with our culture of Trust, Customer Obsession, Innovation and Intensity, ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you’re excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that’s right for you.
About ThoughtSpot
The world’s most innovative companies turn to ThoughtSpot’s AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture.
At ThoughtSpot, we’re a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That’s why we build products that make asking and answering data questions as natural as having a conversation.
Skills Required
- 5+ years of experience in implementation or solutions consulting
- Proven experience managing complex data and analytics implementations
- Strong technical knowledge in BI tools and data platforms
- Hands-on experience with SQL and data modeling
- Bachelor's degree in a relevant field
- Familiarity with ETL tools (like Alteryx, Informatica)
- Experience with programming/scripting languages (Python, JavaScript)
What We Do
The world’s most innovative companies use AI-Powered Analytics from ThoughtSpot to empower every person in their organization with the ability to ask and answer data questions, create and interact with data-driven insights, and use these insights to make informed decisions. ThoughtSpot delivers a complete platform for the modern data stack spanning the entire spectrum of business intelligence needs, from ad hoc novel analysis with a code-first approach, to code-free self-service exploration and AI-driven monitoring powered by natural language. That’s why companies like T-Mobile, CVS, Pepsico, Daimler, Nasdaq, and Huel have turned to ThoughtSpot to transform their data driven cultures.
Why Work With Us
We’re on a mission to build a more fact-driven world. Spotters are a curious and data-driven bunch. We believe the world would be a better place if everyone had access to facts, and we enjoy building products and solving problems that make it easier for people to ask and answer questions with data.
Gallery







